Knowledge Hut

MAY 9, 2024

Data science is an interdisciplinary academic domain that utilizes scientific methods, scientific computing, statistics, algorithms, processes, and systems to extrapolate or extract knowledge and insights from unstructured, structured, and noisy data. What is Data Science? It may go as high as $211,000!

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Knowledge Hut

MAY 31, 2023

For this project, students can analyze data using the Apriori algorithm. They can use either Python or R programming languages. The K-means and Hierarchical clustering algorithms are generally used for this project. Machine learning algorithms such as decision trees and logistic regression are used for fraud detection.

Project 52

Project Datasets Media Python 52

ProjectPro

AUGUST 11, 2016

However, if you discuss these tools with data scientists or data analysts, they say that their primary and favourite tool when working with big data sources and Hadoop , is the open source statistical modelling language – R. This limitation of R programming language comes as a major hindrance when dealing with big data.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

JANUARY 20, 2022

Machine learning, a subdomain of artificial intelligence, uses algorithms and data to imitate how humans learn and steadily improve. Machine learning algorithms leverage existing data as input to forecast the expected output. is a question that every beginner seeking a career in the machine learning domain has in his mind.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

Knowledge Hut

FEBRUARY 12, 2023

Machine Learning Machine learning is instrumental in building a data science product to analyze bulk data involving several tags and parameters. Statistics It is at the core of building a tool for data analysis, as it includes mathematical models, which form the basis of data processing.

Data Science 52

Data Science Computer Science Portfolio Certification 52

ProjectPro

SEPTEMBER 27, 2021

They rely on data science algorithms to understand customer behavior, predict sales, etc. When working with datasets of different types to implement data science algorithms, one has to understand the datasets properly. They then use the algorithms to formulate necessary predictions from the data.

Finance 52

Finance Datasets Portfolio Banking 52

ProjectPro

NOVEMBER 30, 2021

Additionally, you will learn how to implement Apriori and Fpgrowth algorithms over the given dataset. You will also compare the two algorithms to understand the differences between them. You will utilise different machine learning algorithms for predicting the chances of success of a loan application.

Business Analyst 52

Business Analyst Project Retail Datasets 52

Knowledge Hut

MAY 23, 2024

Through this tool, researchers and data scientists can perform matrix operations, analyze algorithmic performance, and render data statistical modeling. This tool is an amalgamation of visualization, mathematical computation, statistical analysis, and programming, all under an easy-to-use ecosystem. The entire language runs on RStudio.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Knowledge Hut

JANUARY 19, 2024

In data science, we use various tools, processes, and algorithms to extract insights from structured and unstructured data. From honing your statistical prowess to mastering programming and algorithms, our program is meticulously designed to empower you with the arsenal needed to excel in this field.

Data Science 52

Data Science Machine Learning Algorithm Datasets 52

Knowledge Hut

FEBRUARY 7, 2023

Automation Tools These tools help engineers to automate repetitive tasks in data science, including training models, selecting algorithms, and more. They help spread data science work by getting non-expert data scientists into the model-building process, offering drag-and-drop interfaces. Platform H2O.ai

Data Science 52

Data Science Google Cloud Machine Learning Programming Language 52

Knowledge Hut

JUNE 30, 2023

The practice of designing, building, and maintaining the infrastructure and systems required to collect, process, store, and deliver data to various organizational stakeholders is known as data engineering. Acquire best practices for building and deploying ETL processes for data warehouse populations. What is Data Engineering?

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

ProjectPro

AUGUST 16, 2021

Often, beginners in Data Science directly jump to learning how to apply machine learning algorithms to a dataset. This basic analysis helps in realising important features of the dataset and saves time by assisting in selecting machine learning algorithms that one should use. The dataset has as many as 31 columns for you to explore.

Data Mining 40

Data Mining Coding Project Datasets 40

ProjectPro

FEBRUARY 5, 2022

Regression Models Regression models include popular algorithms like linear regression vs logistic regression , etc. These algorithms continue to broaden their range of applications, and time series forecasting has not remained untouched by them either. Various data scientists use Greykite, Neural Prophet, LSTM-RNN, etc.,

Deep Learning 52

Deep Learning Python Datasets Machine Learning 52

ProjectPro

DECEMBER 22, 2016

Data mining algorithms automatically develop equations. Data Validation is performed in 2 different steps- Data Screening – In this step various algorithms are used to screen the entire data to find any erroneous or questionable values. Naive Bayes is another such algorithm. Data analysis involves data cleaning.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

Knowledge Hut

MARCH 14, 2024

Data Structures and Algorithms: Understanding data structures relevant to data intelligence is essential. In the modern software landscape, leveraging and developing algorithms is crucial for maintaining a competitive edge. Networking: Building a strong professional network can open doors to job opportunities and mentorship.

Management 52

Management Certification Education Portfolio 52

ProjectPro

SEPTEMBER 6, 2021

Project Idea: You can build a system that collects the prices of a product from different eCommerce websites and prepares a list of them. and use machine learning algorithms to train a model that learns various features of the hotels and predicts the prices. We all have our favourites for news channels, but no one channel has it all.

Project 52

Project Programming Language Entertainment Python 52

ProjectPro

DECEMBER 14, 2021

These three components are all meant to assist in building, exchanging, and leveraging business insights in the most efficient way possible for any business. Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

JANUARY 6, 2022

One can build interactive 2D graphs using matplotlib, such as line graphs, scatter graphs, bar graphs, etc. The project uses the matplotlib library to build histograms for various data inputs. In this project, the Seaborn library is used to build a bar plot showing No. of occurrences vs. Loan Status.

Python 52

Python Datasets Programming Language Data Science 52

ProjectPro

SEPTEMBER 26, 2021

Similarly, professionals with a good understanding of the R programming language earn a median salary of $75,848. This is because of the numerous applications and benefits of Big Data analytics in the industry - detection of fraudulent behavior and risk management, algorithmic trading, credit scoring, and lifetime value prediction.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52